Use Transformers.js 3.0.0

index.html

@@ -11,17 +11,19 @@ transformers_js_py
 </gradio-requirements>
 
 <gradio-file name="app.py" entrypoint>
-from transformers_js import pipeline
+from transformers_js_py import import_transformers_js
 import gradio as gr
 import numpy as np
 
-speaker_embeddings = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/speaker_embeddings.bin';
+transformers_js = await import_transformers_js("3.0.0")
+pipeline = transformers_js.pipeline
 
 synthesizer = await pipeline(
     'text-to-speech',
     'Xenova/speecht5_tts',
     { "quantized": False }
 )
+speaker_embeddings = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/speaker_embeddings.bin';
 
 
 async def synthesize(text):